IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i7p943-d1362210.html
   My bibliography  Save this article

Abnormality and Strict-Sense Minimizers That Are Not Extended Minimizers

Author

Listed:
  • Giovanni Fusco

    (Department of Mathematics “Tullio Levi-Civita”, Università degli Studi di Padova, Via Trieste, 63, 35121 Padova, Italy
    These authors contributed equally to this work.)

  • Monica Motta

    (Department of Mathematics “Tullio Levi-Civita”, Università degli Studi di Padova, Via Trieste, 63, 35121 Padova, Italy
    These authors contributed equally to this work.)

Abstract

We consider a constrained optimal control problem and an extension of it, in which the set of strict-sense trajectories is enlarged. Extension is a common procedure in optimal control used to derive necessary and sufficient optimality conditions for the original problem from the extended one, which usually admits a minimizer and has a more regular structure. However, this procedure fails if the two problems have different infima. Therefore, it is relevant to identify such situations. Following on from earlier work by Warga but adopting perturbation techniques developed in nonsmooth analysis, we investigate the relation between the occurrence of an infimum gap and the abnormality of necessary conditions. For the notion of a local minimizer based on control distance and an extension, including the impulsive one, we prove that (i) a local extended minimizer that is not a local minimizer of the original problem, and (ii) a local strict-sense minimizer that is not a local minimizer of the extended problem both satisfy the extended maximum principle in abnormal form. The main novelty is result (ii), as until now, it has only been shown that a strict-sense minimizer that is not an extended minimizer is abnormal for an ‘averaged version’ of the maximum principle.

Suggested Citation

  • Giovanni Fusco & Monica Motta, 2024. "Abnormality and Strict-Sense Minimizers That Are Not Extended Minimizers," Mathematics, MDPI, vol. 12(7), pages 1-21, March.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:7:p:943-:d:1362210
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/7/943/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/7/943/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernando A. C. C. Fontes & Hélène Frankowska, 2015. "Normality and Nondegeneracy for Optimal Control Problems with State Constraints," Journal of Optimization Theory and Applications, Springer, vol. 166(1), pages 115-136, July.
    2. A. V. Arutyunov & D. Yu. Karamzin & F. L. Pereira, 2015. "State Constraints in Impulsive Control Problems: Gamkrelidze-Like Conditions of Optimality," Journal of Optimization Theory and Applications, Springer, vol. 166(2), pages 440-459, August.
    3. A. Arutyunov & V. Dykhta & F. Lobo Pereira, 2005. "Necessary Conditions for Impulsive Nonlinear Optimal Control Problems without a priori Normality Assumptions," Journal of Optimization Theory and Applications, Springer, vol. 124(1), pages 55-77, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Monica Motta & Caterina Sartori, 2020. "Normality and Nondegeneracy of the Maximum Principle in Optimal Impulsive Control Under State Constraints," Journal of Optimization Theory and Applications, Springer, vol. 185(1), pages 44-71, April.
    2. Luís Tiago Paiva & Fernando A. C. C. Fontes, 2018. "Optimal Control Algorithms with Adaptive Time-Mesh Refinement for Kite Power Systems," Energies, MDPI, vol. 11(3), pages 1-17, February.
    3. Aram Arutyunov & Dmitry Karamzin, 2020. "A Survey on Regularity Conditions for State-Constrained Optimal Control Problems and the Non-degenerate Maximum Principle," Journal of Optimization Theory and Applications, Springer, vol. 184(3), pages 697-723, March.
    4. Farhad Hasankhani & Amin Khademi, 2021. "Is it Time to Include Post‐Transplant Survival in Heart Transplantation Allocation Rules?," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2653-2671, August.
    5. A. V. Arutyunov & D. Yu. Karamzin & F. L. Pereira, 2015. "State Constraints in Impulsive Control Problems: Gamkrelidze-Like Conditions of Optimality," Journal of Optimization Theory and Applications, Springer, vol. 166(2), pages 440-459, August.
    6. Vu Thi Huong & Jen-Chih Yao & Nguyen Dong Yen, 2021. "Optimal Economic Growth Models with Nonlinear Utility Functions," Journal of Optimization Theory and Applications, Springer, vol. 188(2), pages 571-596, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:7:p:943-:d:1362210. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.